oculid - gaze interaction and authentication solutions
User authentication is ubiquitous, be it for unlocking your smart phone, accessing your online bank account or entering workplaces where sensitive data is stored. Oculid’s authentication system is a biometric system based on eye movements. It constitutes an intuitive, innovative and secure multi factor authentication without burdening the user with a multilevel process.
Oculid is a Berlin-based start-up in the pre-seed stage, currently funded by the Exist-grant of the German Federal Ministry for Economics and Energy. We are a three-member multidisciplinary team of engineer and psychologists. User-centred design of human-computer interaction and years of experience in gaze analysis and interaction, are the foundations of our work. Our way of working is strongly influenced by a scientific approach, openness to new ideas, creative genius, and a compassionate and cheerful atmosphere.
To learn more go to: www.oculid.com
Working student in Data Science and Machine Learning
Using machine learning to design and test verification algorithms for user authentication
Collaborating on optimizing algorithms regarding feature selection, error rates and types of error
Collaborating on implementing verification algorithms into oculid’s prototype
Study subject ideally in computer or data science
High affinity to methods of machine learning and hands-on experience by own projects or prior jobs
Excellent knowledge of Python (scikit-learn, numpy, scipy)
Structured and independent way of working, having fun in solving complex tasks
Good communication skills and a strong work ethos
Good knowledge of either German or English or both
What we offer:
Collaborative and relaxed work environment, working with a three-member multidisciplinary team that consists of psychologists and engineers
Flexible working hours; nice office located in central Berlin with a view on the Berlin TV tower
Possibility to adopt responsibility quickly and to develop your technical skills as well as soft skills
Being part of creating the future of user authentication, working on innovative interaction techniques.
See how your knowledge and skills shape a product.
How to apply:
In case you have questions regarding the job, the tasks or anything else, please don’t hesitate to contact Stefan Ruff (firstname.lastname@example.org).